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As of 13 August 2026, AI can only partly discover questions your UK customers ask online.
This still needs a person who signs their name to it.
Can you do it?
15 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0/month
Skill neededchat-fluent
Who has to check ityou
What the alternative costsThe supplied tool data does not state a price for a human market-research alternative.
If this goes wrong: you prioritise content or product changes around questions that are visible online but do not matter to enough of your actual customers.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Write down the product or service, the UK customer group, the problem they are trying to solve and the decision you want the research to inform.
- Open Google search results, relevant forums, review pages, social comments and your own support or sales records, then copy representative questions, excerpts and URLs into one document.
- Remove customer names, email addresses, order details and other private information before pasting the material into an AI tool.
- Paste the context, source material and prompt into a chatbot or Frase, and ask it to separate exact questions from paraphrased themes and group duplicates.
- Open the cited pages and compare each high-priority question with its original wording, source, date, UK relevance and evidence excerpt.
- Mark questions supported by only one weak, old or non-UK source, then ask the AI to rerank the remaining questions by evidence strength.
- Send the shortlist to a colleague who knows your customers, or test it through customer interviews, support conversations or a survey before changing your content or product plans.
Prompt
You are helping with UK customer research. Discover the questions people are asking online about [product, service or problem] in [UK market or customer segment]. Use only the sources and search-result excerpts I provide, plus live web pages if you can access them. Do not invent questions, sources, search volumes or customer numbers. Separate exact questions from paraphrased themes. For every question, give the source URL, source type, approximate date if shown, evidence excerpt, likely customer intent, and a confidence level based only on the evidence. Group duplicates and rank the groups by strength of evidence, not by guesswork. Flag results that are old, promotional, outside the UK, aimed at a different customer type, or based on very little evidence. Finish with: 1) the ten strongest questions to investigate, 2) what evidence is missing, and 3) a short list of questions I should ask real customers to test the findings. Here is the business and customer context: [paste context]. Here are the sources or search results: [paste sources and URLs].
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot see every question your customers ask, especially questions in private groups, closed communities or conversations you have not supplied.
- AI cannot establish that online discussion reflects the size or importance of your UK customer base without reliable underlying data.
- AI cannot reliably distinguish a genuine customer need from search-engine wording, competitor activity, promotional content or an unusually vocal individual.
- AI cannot decide which customer question matters most to your commercial strategy without your knowledge of margins, retention and brand position.
- AI cannot replace asking real customers whether the proposed questions describe their situation.
What caps this at PARTLY: real time truth, verification cost and context depth.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 1 |
| Verification | 1 |
| Liability | 2 |
| Effort delta | 1 |
| Total | 7 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT find out what questions my customers are asking online?
- Partly. It can analyse search results, forums, reviews, comments and customer records that you provide, and group repeated questions. It cannot guarantee complete or representative coverage of your UK customers, particularly where discussions are private or poorly indexed.
- How do I find the questions people are searching for about my business?
- Collect search-result pages, question sites, relevant forums, reviews, social comments and your own support records. Give the material to AI with the URLs and ask it to preserve exact wording, cite evidence, group duplicates and flag results that are old, promotional or outside the UK.
- Can AI do customer research for my small business?
- It can reduce the work of sorting and summarising customer evidence, but it does not complete the research on its own. You still need to choose credible sources, check the cited pages and test the shortlist with real customers.
- Is AI good for finding content ideas from customer questions?
- Yes for generating an evidence-based shortlist, provided you supply the source material and check the results. It is not reliable as a substitute for deciding whether a question is important to your customers or worth answering publicly.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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